Peter Maes
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- Vibrio bacteria research studies 8
-
- Child Nutrition and Water Access 11
- Co-authors
- Michel Van Herp (4 shared papers)Dismas Baza (3 shared papers)Marc Coosemans (3 shared papers)Umberto D’Alessandro (3 shared papers)Rafaël Van den Bergh (13 shared papers)Wim Van Bortel (4 shared papers)Natacha Protopopoff (3 shared papers)Tanguy Marcotty (2 shared papers)
- Journals
- PLoS ONE (4 papers)Conflict and Health (3 papers)Journal of the American Academy of Dermatology (2 papers)Malaria Journal (2 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- BelgiumUnited KingdomLuxembourg
In The Last Decade
Peter Maes
27 papers receiving 492 citations
Peers
Comparison fields: 5 of 89
- Endocrinology 141
- Modeling and Simulation 71
- Public Health, Environmental and Occupational Health 223
- Nutrition and Dietetics 113
- Infectious Diseases 91
Countries citing papers authored by Peter Maes
This map shows the geographic impact of Peter Maes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Maes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Maes more than expected).
Fields of papers citing papers by Peter Maes
This network shows the impact of papers produced by Peter Maes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Maes. The network helps show where Peter Maes may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Maes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2007 | 58 | |
| 3 | 2008 | 55 | |
| 4 | 2007 | 40 | |
| 5 | 2010 | 36 | |
| 6 | 2014 | 32 | |
| 7 | 2023 | 25 | |
| 8 | 2012 | 24 | |
| 9 | 2010 | 22 | |
| 10 | 2016 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2018 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 9 | |
| 20 | 2009 | 7 |
About Peter Maes
Peter Maes is a scholar working on Endocrinology, Nutrition and Dietetics, Modeling and Simulation, Management of Technology and Innovation and Emergency Medical Services, having authored 30 papers that have together received 525 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (11 papers), Vibrio bacteria research studies (8 papers), Malaria Research and Control (6 papers), Mosquito-borne diseases and control (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Salmonella and Campylobacter epidemiology (3 papers), COVID-19 epidemiological studies (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Endocrinology (141 citations), Modeling and Simulation (71 citations), Public Health, Environmental and Occupational Health (223 citations), Nutrition and Dietetics (113 citations) and Infectious Diseases (91 citations). Peter Maes has collaborated with scholars based in Belgium, United Kingdom and Luxembourg. Frequent co-authors include Michel Van Herp, Dismas Baza, Marc Coosemans, Umberto D’Alessandro, Rafaël Van den Bergh, Wim Van Bortel, Natacha Protopopoff, Tanguy Marcotty, Oliver Cumming and Lauren D’Mello-Guyett. Their work appears in journals such as PLoS ONE, Conflict and Health, Journal of the American Academy of Dermatology, Malaria Journal and PLoS neglected tropical diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.